In the March 2009 edition of Methodological News, an update was provided on the Making Quality Visible initiative underway in the ABS. This article focuses on one aspect of the Making Quality Visible project, which is the Australian Bureau of Statistics Data Quality Framework (ABS DQF), recently released on the ABS website (ABS Data Quality Framework cat. no. 1520.0).

It is important to note that the level of importance assigned to each dimension of the ABS DQF is subjective and will depend on the purpose of the person using it.

The following gives an overview of the seven dimensions of quality:

Institutional Environment- refers to the institutional and organisational factors which may have a significant influence on the effectiveness and credibility of the agency producing the statistics.

Relevance- refers to how well the statistical product or release meets the needs of users in terms of the concept(s) measured, and the population(s) represented.

Timeliness- refers to the delay between the reference period (to which the data pertain) and the date at which the data become available; and the delay between the advertised date and the date at which the data become available (i.e., the actual release date).

Accuracy - refers to the degree to which the data correctly describe the phenomenon they were designed to measure.

Coherence - refers to the internal consistency of a statistical collection, product or release, as well as its comparability with other sources of information, within a broad analytical framework and over time.

Interpretability - refers to the availability of information to help provide insight into the data.

Accessibility - refers to the ease of access to data by users, including the ease with which the existence of information can be ascertained, as well as the suitability of the form or medium through which information can be accessed.